Yung‐Hui Kuan

18 total papers · 788 total citations
11 papers, 658 citations indexed

About

Yung‐Hui Kuan is a scholar working on Physiology, Neurology and Physiology. According to data from OpenAlex, Yung‐Hui Kuan has authored 11 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Physiology, 5 papers in Neurology and 4 papers in Physiology. Recurrent topics in Yung‐Hui Kuan's work include Pain Mechanisms and Treatments (5 papers), Adenosine and Purinergic Signaling (4 papers) and Cellular transport and secretion (2 papers). Yung‐Hui Kuan is often cited by papers focused on Pain Mechanisms and Treatments (5 papers), Adenosine and Purinergic Signaling (4 papers) and Cellular transport and secretion (2 papers). Yung‐Hui Kuan collaborates with scholars based in Taiwan, Germany and United States. Yung‐Hui Kuan's co-authors include Jingwen Wang, Michael D. Gershon, René Hen, Min‐Tsai Liu, Bai‐Chuang Shyu, Dariusz C. Górecki, Olaf Bender, Annette Nicke, Florentina Soto and Ruth D. Murrell‐Lagnado and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and Pain.

In The Last Decade

Yung‐Hui Kuan

11 papers receiving 650 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yung‐Hui Kuan 195 194 167 151 146 11 658
Maria Giuliana Vannucchi 105 0.5× 152 0.8× 226 1.4× 110 0.7× 111 0.8× 13 720
Priya Martina Gomes 97 0.5× 72 0.4× 273 1.6× 157 1.0× 140 1.0× 12 632
Heather L. Robbins 100 0.5× 187 1.0× 172 1.0× 237 1.6× 164 1.1× 17 770
J. J. Galligan 88 0.5× 154 0.8× 244 1.5× 228 1.5× 86 0.6× 15 652
Hugh H. Dalziel 353 1.8× 201 1.0× 268 1.6× 116 0.8× 74 0.5× 13 731
James R.F. Hockley 357 1.8× 22 0.1× 249 1.5× 172 1.1× 60 0.4× 21 724
Simon Verheijden 162 0.8× 19 0.1× 348 2.1× 110 0.7× 78 0.5× 19 762
Humphrey Pp 120 0.6× 447 2.3× 198 1.2× 20 0.1× 33 0.2× 9 648
Bao Nan Chen 218 1.1× 20 0.1× 77 0.5× 342 2.3× 118 0.8× 19 634
Orline Bayguinov 166 0.9× 35 0.2× 363 2.2× 181 1.2× 91 0.6× 24 685

Countries citing papers authored by Yung‐Hui Kuan

Since Specialization
Citations

This map shows the geographic impact of Yung‐Hui Kuan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yung‐Hui Kuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yung‐Hui Kuan more than expected).

Fields of papers citing papers by Yung‐Hui Kuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yung‐Hui Kuan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yung‐Hui Kuan. The network helps show where Yung‐Hui Kuan may publish in the future.

Co-authorship network of co-authors of Yung‐Hui Kuan

This figure shows the co-authorship network connecting the top 25 collaborators of Yung‐Hui Kuan. A scholar is included among the top collaborators of Yung‐Hui Kuan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yung‐Hui Kuan. Yung‐Hui Kuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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